fMedCP/pyproject.toml at main · BaranziniLab/fMedCP · GitHub

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[tool.setuptools.packages.find]
exclude = ["results*", "benchmark_questions*"]
[project]
name = "fMedCP"
dynamic = ["version"]
description = "fMedCP - Functional Medical Knowledge Graph for Clinical Data Analysis and Drug Discovery"
license = "MIT"
authors = [
    { name = "Wanjun Gu", email = "wanjun.gu@ucsf.edu" },
]
maintainers = [
    { name = "Wanjun Gu", email = "wanjun.gu@ucsf.edu" },
]
keywords = [
    "medical",
    "healthcare",
    "biomedical",
    "knowledge-graph",
    "clinical-records",
    "electronic-health-records",
    "ehr",
    "neo4j",
    "sql-server",
    "drug-discovery",
    "protein-interactions",
    "pathways",
    "clinical-data",
    "medical-informatics",
    "bioinformatics",
    "healthcare-analytics",
    "medical-research",
    "mcp",
    "claude",
    "anthropic"
]
# Core dependencies
requires-python = ">=3.12"
dependencies = [
    "fastmcp>=2.11.2",
    "neo4j>=5.28.2",
    "pymssql>=2.3.7",
    "pydantic>=2.0.0",
    "anthropic>=0.7.0",
    "python-dotenv>=1.0.0",
    "mcp>=1.0.0",
    "asyncio-mqtt",
    "pandas>=2.3.2",
]